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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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UiO/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the position A PhD fellowship is available at the Institute of Clinical Medicine, University of Oslo
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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special cases within the broader GDL paradigm. Research in GDL relies on a strong theoretical foundation, drawing on group theory, differential geometry, and representation theory. The performance gains
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine